An integrated financial data supply chain creates efficiencies through automation, openness, standards, and communication across the data supply chain from source to use, rather than simply passing data on and out of sight.

Capital Markets Outlook 2015: As the January 2016 deadline approaches for BCBS 239, also known as risk data aggregation, banks need to make sure they have a definitive RDA plan, and can show regulators they are getting closer to their compliance goals.

Social media has mainly been a marketing effort in financial services, and many firms are not tracking ROI. Yet, some are deriving value from analysis of social data, whether it's sentiment analysis for trading or credit risk in lending.

Without faster and better analysis and visualization tools, financial institutions will be unable to comprehend relationships or patterns that exist within the data, defeating the point of using it at all.

Chief data officers are new to the financial services C-suite, but they are facing a number of challenges, including the need for new data governance and execution strategies, staffing, and new organizational structures to enable cultural change.

Research and statistical analysis experts at central banks are tasked with developing sophisticated forecasts and models to identify systemic risk. Yet they are spending most of their time acting as data entry clerks, rather than developing these models.